Registry Based Discovery Model for Android Application

Abstract

The confrontational growth of the mobile application market has made it a remarkable challenge for the users to find interesting applications in crowded App Stores. The existing industrial solutions often use the users' application download history and possibly their ratings to recommend applications that might be of interest, which in turn have alleviated the crisis. Conversely, the user downloading an application is a weak indicator for ranking an application (particularly if the application is free and the user just wants to try it out). On the contrary, usage of application ratings suffers from tedious manual input and potential data scarcity problems. In this paper, we present the registry based discovery model which uses parameters like reputation, client feedback and QoS metric to find the rating score. Eventually user gets paramount application based on users' functional requirements.